Kin 304W: Inquiry & Measurement in Kinesiology (Writing Intensive)

Summer 2012

Instructor: Dr. Dawn Mackey

Office: K8629

Email: dmackey@sfu.ca

Course Description: This course emphasizes the application of statistical and data acquisition methods in relation to various research designs that are relevant to Biomedical Physiology and Kinesiology. The course builds upon the statistical knowledge acquired in STAT 201 and covers evaluation of measurement quality, statistical test construction and assessment, and computer techniques for data acquisition and signal processing relevant to issues in Biomedical Physiology and Kinesiology. A key component of the course is learning how to write a peer-reviewed journal article. Both the writing assignment and course project will be marked, reviewed and returned to the student for revision and resubmission.

Prerequisites: KIN 142, 201, 205, and STAT 201.

Lectures and Lab Tutorials: The course includes two hours of lecture on Tuesdays, one hour of lecture on Fridays, and one hour of tutorial in a computer teaching lab on Fridays.

Text: Inquiry & Measurement in Kinesiology, Ward 2005. This is a custom text written specifically to cover the diverse topics in this course. Chapters will be posted as .pdf files on the course website at no charge.

Evaluation:

 

Lab Results Sheets (handed out at each lab)

4%

Lab Midterm 1 (Week 7)

Lab Midterm 2 (Week 12)

6%

5%

Project Part I (Results Section)

     1st Submission (Week 7)                    10%

     2nd Submission (at Final Exam)           5%

15%

Project Part II (Complete Journal Article)

     1st Submission (Week 11)                   30%

     2nd Submission (at Final Exam)           5%

35%

Final Exam

35%

 

Lab Tutorials: Lab Tutorials will be held in a University Computer Teaching Lab. The T.A. will address skills and evaluation procedures necessary for the completion of the tutorials. Numerous example data sets and analyses will be used. Lab results sheets will be handed out at the beginning of lab. These sheets will be completed during the lab and submitted before leaving at the end of the lab. These sheets will not be handed out before the beginning of your registered lab.

Lab Midterms: There will be two 45-minute practical exams held during your regularly scheduled lab time in weeks 7 and 12. Lab midterms will test the knowledge and skills acquired in the preceding labs.

Project Part I: Students will be required to write the Results section of a journal article based on the results obtained from the data analysis completed in the Week 5 lab. This writing assignment will be given in Week 5 and is due at the Tuesday lecture in Week 7 (1st submission). Project Part I will be edited and returned to the student in Week 9. The student will revise the Project Part I and re-submit it for 2nd submission at the final exam. Hand-in the marked 1st submission of the Project Part I with the 2nd submission.

Project Part II: Building on the Results section completed for Project Part I, Students will be required to write a complete journal article as one would submit to a scientific journal. Project Part II will be due for 1st submission at Tuesday lecture in Week 11. This will be edited and returned to the student at Tuesday lecture in Week 13. The student will revise the Project Part II and re-submit it for 2nd submission at the final exam. Hand-in the marked 1st submission of the Project Part II with the 2nd submission.

Attendance: Class attendance is strongly recommended. You are not required to attend class. However, if you choose not to attend, do not expect the instructor to repeat announcements, to loan you her lecture materials, or to give you any handouts that might have been distributed. If you know that you are going to miss a class, you might want to ask a classmate to pick up materials for you and to borrow her notes. If extenuating circumstances (unusual circumstances beyond your control, such as death of a close family member or illness) cause you to miss a lab or other marked activity, you should contact the instructor to make alternate arrangements as soon as you can. If you will need to miss class for a religious holiday or travel related to a university function (e.g., athletic competition), please let the instructor know within the first week of the semester.

The procedure to be followed if you miss class work due to illness is explained at the following link. http://students.sfu.ca/health/healthclinics/sicknotes.html

If a medical note is appropriate, please bring a Health Care Provider Statement, to your physician for completion, especially if it is required for labs, midterms, the project, and final exam. The completed note should state the limitations caused by your sickness (e.g. requires bed rest, will not be able to sit for extended periods, cannot concentrate etc.)

The Health Care Provider form is available at the following link: http://students.sfu.ca/health/healthclinics/deferrals.pdf

Academic Honesty and Student Conduct: Academic honesty is a condition of continued membership in the University community. Academic dishonesty, including plagiarism or any other form of cheating is subject to serious academic penalty, i.e., failure on an assignment, failure in a course, suspension or expulsion from the University. The University codes of student conduct and academic honesty are contained in policies T10.01 and T10.02, which are available at http://www.sfu.ca/policies/gazette/teaching.html.

Office Hours: Dr. Mackey’s office hours are Fridays from 9:00 – 10:00 am in K8629. Brett Shaw (Writer Marker) will hold a number of office hours throughout the semester in K8619 to provide assistance and feedback on the project (written assignments). Brett’s office hours will be as follows:

Tuesday June 12, 1:30-2:30pm

Monday June 18, 1:30-2:30pm

Tuesday July 3, 1:00-2:00pm

Thursday July 5, 1:00-2:00pm

Tuesday July 10, 1:00-2:00pm

Monday July 16, 9:00-10:00am

Tuesday July 31, 1:00-2:00pm

Wednesday August 1, 9:00-10:00am

Thursday August 2, 1:00-2:00pm

 

Week

Tuesday Lecture

Friday Lab

Readings

#1

Tuesday
May 8

Course Introduction

 

Scientific Method

No Lab

Chap 1-1: Scientific Method

#2

Tuesday May 15

 

The Normal Distribution and Descriptive Statistics

 

Intro to EXCEL & SPSS

 

Lab 1: Introduction to SPSS

 

Grip.xlsx

Chap 1-3: Processing Data using EXCEL

 

Chap 1-4: Processing Data using SPSS

 

Chap 2-1: Descriptive Statistics

 

Chap 2-2: Norms & Rating Scales

 

Chap 2-3: Testing Normality

#3

Tuesday May 22

Inferential Statistics

 

Tests of Differences between Means I

Lab 2: Descriptive Statistics

 

Cfskidsmv.sav

Chap 2-4: Inferential Statistics

 

Guidelines for Reporting Statistics

#4

Tuesday May 29

Tests of Differences between Means II

Lab 3: T tests, ANOVA

 

Grip.sav

 

cfskids.sav

 

CSB 2012

Chap 2-7: Tests of Differences between Means

 

Wright & Laing 2011

 

#5

Tuesday June 5

Tests of Differences between Means III

 

Project Part I Slides

 

Project Part I Instructions

Lab 4: RM-ANOVA Project Analysis

 

BP.sav

 

During lab we will do the data analysis for the Project

Manske et al. 2011

 

Simonsick et al. 2006

 

Wright et al. 2011

 

Mackey et al. 2011

#6

Tuesday June 12

Correlation

 

Regression

 

Learning Checkpoint

 

Learning Checkpoint Answers

Lab 5: Correlation & Regression

 

Cfskids.sav

Chap 2-5: Correlation

 

Chap 2-6: Regression

#7

Tuesday June 19

Project Part II Slides

 

Project Part II Instructions

 

Literature Review

 

 

Friday: 30 min Q & A period before Lab Midterm

 

Project Part I (Results Section) due at beginning of lecture on Tuesday, June 19

 

Lab Midterm 1

In your registered lab time (45 mins). Open book, open computer, but no e-mailing or texting.

 

MexicoMT.sav

 

This is the dataset for Lab Midterm 1

 

#8

Tuesday June 26

Nonparametric Statistics

Lab 6: NonParametric Statistics

 

Smoke.sav

Chap 2-9: Non-Parametric Statistics

#9

Tuesday
July 3

Modeling

 

A/D Basics & Labview

 

Project Part I will be returned in lecture on Tues, July 3

 

Project Methods Section

 

Lab 7: Modeling Growth Data

 

SASKFULL.sav

 

Chap 2-12: Mathematical Modeling of Serial Data

 

Chap 3-1: A/D Basics

#10

Tuesday July 10

Modeling Skinfold Compression

 

Abstracts

Lab 8: Modeling Skinfold Compressibility

 

Skincomp.xls

 

 

Chap 3-3: A/D Example: Dynamic Skinfold Compression

#11

Tuesday July 17

A/D Example:

 

E.M.G.

 

Guest Lecture

 

Project Part II due at beginning of lecture on Tuesday, July 17

Lab 9: EMG analysis

 

EmgData.xls

Chap 3-4: A/D Example E.M.G.

#12

Tuesday July 24

Undergrad Research Opportunities

 

Making Data Stick

 

Lab Midterm 2 Review Slides

 

Friday: 30 min Q & A period before Lab Midterm

Lab Midterm 2

In your registered lab time (45 mins). Open book, open computer, but no e-mailing or texting.

 

EyesMT.sav

 

MT2EMG.xls

 

I will post the dataset for lab midterm #2

 

#13

Tuesday July 31

Course Review

 

Project Part II will be returned in lecture on Tues, July 31

No Lab

 

Exam Period

Final Exam

Saturday, August 11

8:30 am - 11:30 am

Location TBA

 

Closed Book

3 Hours

Revised Project Parts I and II (2nd submission) due at final exam.

 

(Hand-in marked 1st submissions with 2nd submission.)